The role of self-regulation in the relationship between adaptability and engagement: A case of online mathematics learning for elementary school students

Yoppy Wahyu Purnomo; Irfan Wahyu Prananto; Yeni Fitriya; Amrita Kaur

doi:10.24059/olj.v28i1.3849

Authors

Yoppy Wahyu Purnomo Universitas Negeri Yogyakarta https://orcid.org/0000-0002-6216-3855
Irfan Wahyu Prananto Universitas Negeri Yogyakarta https://orcid.org/0000-0003-1628-5197
Yeni Fitriya Universitas Negeri Yogyakarta https://orcid.org/0000-0003-3821-4007
Amrita Kaur Wenzhou-Kean University https://orcid.org/0000-0001-6242-5483

DOI:

https://doi.org/10.24059/olj.v28i1.3849

Keywords:

adaptability, elementary school, online mathematic learning, self-regulation, student engagement

Abstract

The dynamics of students' engagement in online mathematics learning during the pandemic have been completely distinctive from face-to-face learning. To further the investigation, the current study aims to examine the relationship between student adaptability and engagement and the mediating role of self-regulation and grade level, parental education level, student age, and student gender. A total of 339 students, with an average age of 11.16 years, from three public elementary schools in Yogyakarta, Indonesia, participated in this study. The findings demonstrated that: 1) adaptability has a positive and significant effect on student self-regulation, 2) self-regulation has a positive and significant effect on student engagement in online mathematics learning, and 3) adaptability has a significant positive influence on student engagement in both directly and through the mediation of student self-regulation. The study has a significant implication for the student learning environment, especially parental involvement. Recommendations to encourage parental involvement for online learning engagement are made.

References

Alia, T., & Irwansyah, I. (2018). Pendampingan orang tua pada anak usia dini dalam penggunaan teknologi digital [parent mentoring of young children in the use of digital technology]. Polyglot: Jurnal Ilmiah, 14(1), 65–78.

Alibali, M. W., & Nathan, M. J. (2012). Embodiment in Mathematics Teaching and Learning: Evidence From Learners’ and Teachers’ Gestures. Journal of the Learning Sciences, 21(2), 247–286. https://doi.org/10.1080/10508406.2011.611446

Alphonse, A., Orellana, A., & Kanzki-Veloso, E. C. (2019). How Online Students Describe Their Physical Learning Environment. Quarterly Review of Distance Education, 20(2), 29–54.

Awee, A., Mohsin, F. H., & Yong, K. T. (2022). Students’ Adaptability on Unexpected Transition to Online Learning during COVID-19 Pandemic: The Role of Self Regulation Learning and Self Efficacy. Asia Pacific Journal of Educators and Education, 37(1), 19–45. https://doi.org/10.21315/apjee2022.37.1.2

Beckers, J., Dolmans, D., & van Merriënboer, J. (2016). e-Portfolios enhancing students’ self-directed learning: A systematic review of influencing factors. Australasian Journal of Educational Technology, 32(2). https://doi.org/10.14742/ajet.2528

Besser, A., Flett, G. L., Nepon, T., & Zeigler-Hill, V. (2020). Personality, Cognition, and Adaptability to the COVID-19 Pandemic: Associations with Loneliness, Distress, and Positive and Negative Mood States. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-020-00421-x

Besser, A., Flett, G. L., & Zeigler-Hill, V. (2020). Adaptability to a sudden transition to online learning during the COVID-19 pandemic: Understanding the challenges for students. Scholarship of Teaching and Learning in Psychology. https://doi.org/10.1037/stl0000198

Casimiro, L. T. (2016). Cognitive Engagement in Online Intercultural Interactions: Beyond Analytics. International Journal of Information and Education Technology, 6(6), 441–447. https://doi.org/10.7763/IJIET.2016.V6.729

Choi, H.-H., van Merriënboer, J. J. G., & Paas, F. (2014). Effects of the physical environment on cognitive load and learning: Towards a new model of cognitive load. Educational Psychology Review, 26(2), 225–244.

Clark, L. A., & Watson, D. (1995). Constructing validity: Basic issues in objective scale development. Psychological Assessment, 7(3), 309–319. https://doi.org/10.1037/1040-3590.7.3.309

Collie, R. J., Holliman, A. J., & Martin, A. J. (2017). Adaptability, engagement and academic achievement at university. Educational Psychology, 37(5), 632–647. https://doi.org/10.1080/01443410.2016.1231296

Collie, R. J., & Martin, A. J. (2017). Students’ adaptability in mathematics: Examining self-reports and teachers’ reports and links with engagement and achievement outcomes. Contemporary Educational Psychology, 49, 355–366. https://doi.org/10.1016/j.cedpsych.2017.04.001

Dishon, G., & Gilead, T. (2021). Adaptability and Its Discontents: 21st-Century Skills and The Preparation for an Unpredictable Future. British Journal of Educational Studies, 69(4), 393–413. https://doi.org/10.1080/00071005.2020.1829545

Drake, K., Belsky, J., & Fearon, R. M. P. (2014). From early attachment to engagement with learning in school: The role of self-regulation and persistence. Developmental Psychology, 50(5), 1350–1361. https://doi.org/10.1037/a0032779

Dumford, A. D., & Miller, A. L. (2018). Online learning in higher education: exploring advantages and disadvantages for engagement. Journal of Computing in Higher Education, 30(3), 452–465. https://doi.org/10.1007/s12528-018-9179-z

Ferrer, J., Ringer, A., Saville, K., A Parris, M., & Kashi, K. (2020). Students’ motivation and engagement in higher education: the importance of attitude to online learning. Higher Education. https://doi.org/10.1007/s10734-020-00657-5

Ferri, F., Grifoni, P., & Guzzo, T. (2020). Online learning and emergency remote teaching: Opportunities and challenges in emergency situations. Societies, 10(4). https://doi.org/10.3390/soc10040086

Fiorella, L., Stull, A. T., Kuhlmann, S., & Mayer, R. E. (2018). Instructor Presence in Video Lectures: The Role of Dynamic Drawings, Eye Contact, and Instructor Visibility. Journal of Educational Psychology. https://doi.org/10.1037/edu0000325

Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School Engagement: Potential of the Concept, State of the Evidence. Review of Educational Research, 74(1), 59–109. https://doi.org/10.3102/00346543074001059

Fredricks, J. A., & McColskey, W. (2012). The Measurement of Student Engagement: A Comparative Analysis of Various Methods and Student Self-report Instruments. In S. Christenson, A. Reschly, & C. Wylie (Eds.), Handbook of Research on Student Engagement (pp. 763–782). Springer US. https://doi.org/10.1007/978-1-4614-2018-7_37

Fredricks, J. A., Mccolskey, W., Meli, J., Montrosse, B., Mordica, J., & Mooney, K. (2011). Measuring student engagement in upper elementary through high school: a description of 21 instruments. http://ies.ed.gov/ncee/edlabs.

Friesen, N., & Kuskis, A. (2013). Modes of interaction. In M. G. Moore (Ed.), Handbook of Distance Education (3rd ed., pp. 369–389). Routledge.

Fung, F., Tan, C. Y., & Chen, G. (2018). Student engagement and mathematics achievement: Unraveling main and interactive effects. Psychology in the Schools, 55(7), 815–831. https://doi.org/10.1002/pits.22139

Gomes, M., Monteiro, V., Mata, L., Peixoto, F., Santos, N., & Sanches, C. (2019). The Academic Self-Regulation Questionnaire: a study with Portuguese elementary school children. Psicologia: Reflexao e Critica, 32(1). https://doi.org/10.1186/s41155-019-0124-5

Gopakumar, V. (2020). Survey report on Adaptability to e-learning: Report of the online survey among the students of Goa University.

Holliman, A. J., Martin, A. J., & Collie, R. J. (2018). Adaptability, engagement, and degree completion: a longitudinal investigation of university students. Educational Psychology, 38(6), 785–799. https://doi.org/10.1080/01443410.2018.1426835

Irfan, M., Kusumaningrum, B., Yulia, Y., & Widodo, S. A. (2020). Challenges During the Pandemic: Use of E-Learning in Mathematics Learning in Higher Education. Infinity Journal, 9(2), 147. https://doi.org/10.22460/infinity.v9i2.p147-158

Jahromi, L. B., Bryce, C. I., & Swanson, J. (2013). The importance of self-regulation for the school and peer engagement of children with high-functioning autism. Research in Autism Spectrum Disorders, 7(2), 235–246. https://doi.org/10.1016/j.rasd.2012.08.012

Koivuniemi, M., Järvenoja, H., Järvelä, S., & Thomas, V. (2021). An overview of instruments for assessing and supporting elementary school students’ self-regulated learning. Learning: Research and Practice, 7(2), 109–146. https://doi.org/10.1080/23735082.2020.1859123

Lee, J., Song, H.-D., & Hong, A. (2019). Exploring Factors, and Indicators for Measuring Students’ Sustainable Engagement in e-Learning. Sustainability, 11(4), 985. https://doi.org/10.3390/su11040985

Leis, M., Schmidt, K. M., & Rimm-Kaufman, S. E. (2015). Using the Partial Credit Model to Evaluate the Student Engagement in Mathematics Scale. Journal of Applied Measurement, 16(3), 251–267.

Martin, A. J., Nejad, H., Colmar, S., & Liem, G. A. D. (2012). Adaptability: Conceptual and Empirical Perspectives on Responses to Change, Novelty and Uncertainty. Australian Journal of Guidance and Counselling, 22(1), 58–81. https://doi.org/10.1017/jgc.2012.8

Martin, A. J., Nejad, H. G., Colmar, S., & Liem, G. A. D. (2013). Adaptability: How students’ responses to uncertainty and novelty predict their academic and non-academic outcomes. Journal of Educational Psychology, 105(3), 728–746. https://doi.org/10.1037/a0032794

Montague, M. (2007). Self-Regulation and Mathematics Instruction. Learning Disabilities Research & Practice, 22(1), 75–83. https://doi.org/10.1111/j.1540-5826.2007.00232.x

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.

Orgeta, V. (2009). Specificity of age differences in emotion regulation. Aging & Mental Health, 13(6), 818–826.

Pintrich, P. R. (2000). The Role of Goal Orientation in Self-Regulated Learning. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of Self-Regulation (pp. 451–502). Elsevier. https://doi.org/10.1016/B978-012109890-2/50043-3

Pramudiani, P., Oktafiani, A. F., Aziz, T. A., & Purnomo, Y. W. (2017). Enhancing Conceptual Knowledge about Shape through Realistic Mathematics Education. Jurnal Inovasi Pendidikan Dasar, 3(1), 31–38.

Pramudiani, P., Purnomo, Y. W., & Aziz, T. A. (2016). Identifying Pre-Service Primary School Teachers’ Division Strategies. Jurnal Inovasi Pendidikan Dasar, 2(1), 9–18.

Purnomo, Y. W., Ainun, T. R., la Nina, P., Utami, K., Wijayanti, R., & Ismail, S. N. (2022). Mother as a Teacher at Home : Challenges and Opportunities for Parental Involvement in Online Mathematics Learning for Elementary School Students. The New Educational Review, 69(3), 130–140. https://doi.org/10.15804/tner.2022.69.3.10

Purnomo, Y. W., Ainun, T. R., La Nina, P., Utami, K., Wijayanti, R., & Ismail, S. N. (2022). Mother as a Teacher at Home : Challenges and Opportunities for Parental Involvement in Online Mathematics Learning for Elementary School Students. The New Educational Review, 69(3), 130–140. https://doi.org/10.15804/tner.2022.69.3.10

Purnomo, Y. W., Apriyanti, N., Mubarokah, S. A., Susilowati, & Anggraheni, W. A. (2022). The role of parental involvement and mathematics self-concept of elementary school students in online mathematics learning. The Education and Science Journal, 24(7), 110–125. https://doi.org/10.17853/1994-5639-2022-7-110-125

Purnomo, Y. W., Safitri, E., Rohmah, N., Rahmawati, R. D., & Abbas, N. (2021). Parental Involvement in Online Mathematics Learning: Examining Student Report and Links with Engagement. The New Educational Review, 66(4), 120–130. https://doi.org/10.15804/tner.2021.66.4.10

Purnomo, Y. W., Salsabila, J. L., Nafisah, A., Rahmawati, R. D., & Mawaddah, F. (2021). Pembelajaran Matematika Secara Daring Membosankan Bagi Siswa Sekolah Dasar: Studi Self-Report Siswa. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 10(3), 1351–1359. https://doi.org/10.24127/ajpm.v10i3.3533

Radišić, J., Videnović, M., & Baucal, A. (2015). Math anxiety—contributing school and individual level factors. European Journal of Psychology of Education, 30(1), 1–20. https://doi.org/10.1007/s10212-014-0224-7

Reed, R. G., Combs, H. L., & Segerstrom, S. C. (2020). The Structure of Self-Regulation and Its Psychological and Physical Health Correlates in Older Adults. Collabra: Psychology, 6(1). https://doi.org/10.1525/collabra.297

Rimm-Kaufman, S. E., Baroody, A. E., Larsen, R. A. A., Curby, T. W., & Abry, T. (2015). To what extent do teacher–student interaction quality and student gender contribute to fifth graders’ engagement in mathematics learning? Journal of Educational Psychology, 107(1), 170–185. https://doi.org/10.1037/a0037252

Ryan, R. M., & Connell, J. P. (1989). Perceived locus of causality and internalization: Examining reasons for acting in two domains. In Journal of Personality and Social Psychology (Vol. 57, pp. 749–761). American Psychological Association. https://doi.org/10.1037/0022-3514.57.5.749

Schindler, L. A., Burkholder, G. J., Morad, O. A., & Marsh, C. (2017). Computer-based technology and student engagement: a critical review of the literature. In International Journal of Educational Technology in Higher Education (Vol. 14, Issue 1). Springer Netherlands. https://doi.org/10.1186/s41239-017-0063-0

Shernoff, D. J., & Bempechat, J. (2014). Introduction to Engaging Youth in Schools, an NSSE yearbook. Teachers College Record, 116(13), 1–14.

Silinskas, G., & Kikas, E. (2019). Parental Involvement in Math Homework: Links to Children’s Performance and Motivation. Scandinavian Journal of Educational Research, 63(1), 17–37. https://doi.org/10.1080/00313831.2017.1324901

Sinatra, G. M., Heddy, B. C., & Lombardi, D. (2015). The Challenges of Defining and Measuring Student Engagement in Science. In Educational Psychologist (Vol. 50, Issue 1). Routledge. https://doi.org/10.1080/00461520.2014.1002924

Stull, A. T., Fiorella, L., & Mayer, R. E. (2018). An eye-tracking analysis of instructor presence in video lectures. Computers in Human Behavior, 88, 263–272. https://doi.org/10.1016/J.CHB.2018.07.019

Sun, J. C.-Y., & Rueda, R. (2012). Situational interest, computer self-efficacy and self-regulation: Their impact on student engagement in distance education. British Journal of Educational Technology, 43(2), 191–204. https://doi.org/10.1111/j.1467-8535.2010.01157.x

Xu, D., & Jaggars, S. S. (2014). Performance Gaps between Online and Face-to-Face Courses: Differences across Types of Students and Academic Subject Areas. The Journal of Higher Education, 85(5), 633–659. https://doi.org/10.1080/00221546.2014.11777343

Xu, D., & Xu, Y. (2019). The promises and limits of online higher education: Understanding how distance education affects access, cost, and quality. In American Enterprise Institute. https://www.aei.org/research-products/report/the-promises-and-limits-of-online-higher-education/

Zhang, K., Wu, S., Xu, Y., Cao, W., Goetz, T., & Parks-Stamm, E. J. (2021). Adaptability Promotes Student Engagement Under COVID-19: The Multiple Mediating Effects of Academic Emotion. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.633265

Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In Handbook of self-regulation (pp. 13–39). Elsevier.

Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. In Theory into Practice (Vol. 41, Issue 2, pp. 64–70). Ohio State University Press. https://doi.org/10.1207/s15430421tip4102_2